Schedule

Note: The timeline of topics and assignments might be updated throughout the semester.

week	date	topic	prepare	slides	appex	assignment	assessment
1	17 January	Welcome to Statistical Models
2	22 January	Lab 01: R you ready?
2	24 January	Design Principles of Data Analysis
2		Getting to know ggplot2
3	29 January	Exploratory Data Analysis
3	31 January	Data Manipulation (Hands on)
4	5 February	Data Manipulation in R
4		Review of Summarizing Continuous Variables
4	7 February	Simple Linear Regression
4		Lab 02: Simple Linear Regression Part 1
5	12 February	Drawing Inference (Part 1)
5	14 February	Drawing Inference (Part 2)
5		Simple Linear Regression
6	19 February	Assumptions of Simple Linear Regression
6	21 February	Lab 03: Simple Linear Regression Part 2
7	26 February	Unusual Observations
7		Hypothesis Testing
7		Partitioning variability
7	28 February	Regression and correlation
7		Prediction intervals
7		Lab 04: Interpreting Results
8	4 March	Review
8	6 March	Midterm 01
	11 March	Spring Break [No Class]
	13 March	Spring Break [No Class]
9	18 March	Midterm Review
9	20 March	Multiple linear regression
10	25 March	Types of Variables
10		Model comparison
10	27 March	Variable transformations
11	1 April	Nested F-tests
11		Selecting Predictors
11		Conditions for Multiple Linear Regression
11	3 April	Interpeting Coefficients
11		Lab 05: Multiple regression in practice
12	8 April	Introduction to logistic regression
12	10 April	Logistic regression in practice
12		Assessing logistic regression conditions
12		Logistic regression inference
12		Lab 06: Inference with logistic regression
13	15 April	Multiple logistic regression
13	17 April	Midterm 02
14	22 April	Final Projects
14	24 April	Final Projects
15	29 April	Final Projects
15	1 May	Final Presentations